Embedded Executive: AI At the Endpoint | EMASS

By Rich Nass

Contributing Editor

Embedded Computing Design

October 08, 2025

Podcast

Embedded Executive: AI At the Endpoint | EMASS

AI at the endpoint gets yet another boost from EMASS, a fabless semiconductor company that recently emerged from stealth mode. 

Having your processing at the endpoint presents a few significant challenges, namely the amount of processing that can be made available and the ability to run from a battery. EMASS has come up with a way to do this a little differently from what’s been done previously. They can attach their RISC-V processing element to any sensor, making the device an AI accelerator. It’s a little difficult for me to put into words here, so check out this week’s Embedded Executives podcast, where I spent some time with Mark Goranson, EMASS’s CEO, who explains it in detail.

 

Rich Nass is a regular contributor to Embedded Computing Design. He has appeared on more than 500 episodes of the popular Embedded Executive podcast series, and is a regular contributor to the Embedded Insiders podcast.

Rich has been in the engineering OEM industry for more than 35 years, and is a recognized expert in the areas of embedded computing, Edge AI, industrial computing, the IoT, and cyber-resiliency and safety and security issues. He writes and speaks regularly on these topics and more.

Rich is currently the Liaison to Industry for the Embedded World North America Exhibition and Conference, and has held similar positions with the global Embedded World Conference and Exhibition.

Previously, Rich was the Brand Director for UBM’s award-winning Design News property. Prior to that, he led the content team for UBM Canon’s Medical Devices Group, as well all custom properties and events.  In prior stints, he led the Content Team at EE Times, handling the Embedded and Custom groups and the TechOnline DesignLine network of design engineering web sites.

Nass holds a BSEE degree from the New Jersey Institute of Technology.

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